Evidence map›Paper›PMID 38635629›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

A generic approach to infer community-level fitness of microbial genes.

Teng Wang, Andrea Weiss, Lingchong You

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 46% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. A generic approach to infer community-level fitness of microbial genes.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Teng Wang *Department of Biomedical Engineering, Duke University, Durham, NC 27705.ORCID 0009-0000-5176-5095
Andrea Weiss *Department of Biomedical Engineering, Duke University, Durham, NC 27705.
Lingchong YouDepartment of Biomedical Engineering, Duke University, Durham, NC 27705.
Duke University · US

Funding

Post-antibiotic effect and design of optimal antibiotic dosing protocolsR01GM098642 · NIGMS · DUKE UNIVERSITY · PI YOU, LINGCHONG · 2011 to 2025
$3.6M
Tradeoffs between fitness costs and transfer rates in horizontal gene transferR01AI125604 · NIAID · DUKE UNIVERSITY · PI LINGCHONG YOU · 2017 to 2026
$3.3M
Targeted control of self-transmissible plasmids by using engineered interfering plasmidsR01EB031869 · NIBIB · DUKE UNIVERSITY · PI YOU, LINGCHONG · 2021 to 2024
$1.5M
NIAID NIH HHS R01 AI125604NIBIB NIH HHS R01 EB031869NIGMS NIH HHS R01 GM098642
6 · The paper itself

Abstract

The gene content in a metagenomic pool defines the function potential of a microbial community. Natural selection, operating on the level of genomes or genes, shapes the evolution of community functions by enriching some genes while depriving the others. Despite the importance of microbiomes in the environment and health, a general metric to evaluate the community-wide fitness of microbial genes remains lacking. In this work, we adapt the classic neutral model of species and use it to predict how the abundances of different genes will be shaped by selection, regardless of at which level the selection acts. We establish a simple metric that quantitatively infers the average survival capability of each gene in a microbiome. We then experimentally validate the predictions using synthetic communities of barcoded

Indexed as

MicrobiotaGenes, MicrobialMetagenomeSelection, Geneticgene abundancegene prevalencemicrobial genesnatural selectionpower law

Identifiers

PMID38635629
PMCPMC11047084
OpenAlexW4394909919

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.